AIBullisharXiv – CS AI · Mar 47/102
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Neural Paging: Learning Context Management Policies for Turing-Complete Agents
Researchers introduce Neural Paging, a new architecture that addresses the computational bottleneck of finite context windows in Large Language Models by implementing a hierarchical system that decouples reasoning from memory management. The approach reduces computational complexity from O(N²) to O(N·K²) for long-horizon reasoning tasks, potentially enabling more efficient AI agents.